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Articles

Impulsivity and predictive control are associated with suboptimal action-selection and action-value learning in regular gamblers

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Pages 489-505 | Received 07 Feb 2015, Accepted 28 Jul 2015, Published online: 15 Nov 2015

References

  • Adinoff, B., Rilling, L. M., Williams, M. J., Schreffler, E., Schepis, T. S., Rosvall, T., & Rao, U. (2007). Impulsivity, neural deficits, and the addictions. Journal of Addictive Diseases, 26, 25–39. doi:10.1300/J069v26S01_04.
  • Averbeck, B. B., Djamshidian, A., O'Sullivan, S. S., Housden, C. R., Roiser, J. P., & Lees, A. J. (2013). Uncertainty about mapping future actions into rewards may underlie performance on multiple measures of impulsivity in behavioral addiction: Evidence from Parkinson's disease. Behavioral Neuroscience, 127, 245–255. doi:10.1037/a0032079.
  • Ayton, P., & Fischer, I. (2004). The hot hand fallacy and the gambler's fallacy: Two faces of subjective randomness? Memory & Cognition, 32, 1369–1378. doi:10.3758/BF03206327.
  • Álvarez-moya, E. M., Ochoa, C., Jimenez-Murcia, S., Aymami, M. N., Gomez-Pena, M., Fernandez-Aranda, F., & … Menchon, J. M. (2011). Effect of executive functioning, decision-making and self-reported impulsivity on the treatment outcome of pathologic gambling. Journal of Psychiatry & Neuroscience, 36, 165–175. doi:10.1503/jpn.090095.
  • Baron, J., & Frisch, D. (1994). Thinking and deciding. John Wiley & Sons, Chichester, England, 574.
  • Behrens, T. E. J., Woolrich, M. W., Walton, M. E., & Rushworth, M. F. S. (2007). Learning the value of information in an uncertain world. Nature Neuroscience, 10, 1214–1221. doi:10.1038/nn1954.
  • Blaszczynski, A. (2009). Problem gambling: We should measure harm rather than ‘cases’. Addiction, 104, 1072–1074. doi:10.1111/j.1360-0443.2009.02505.x.
  • Blaszczynski, A., Steel, Z., & McConaghy, N. (1997). Impulsivity in pathological gambling: The antisocial impulsivist. Addiction, 92, 75–87. doi:10.1111/j.1360-0443.1997.tb03639.x.
  • Buckholtz, J. W., Treadway, M. T., Cowan, R. L., Woodward, N. D., Li, R., Ansari, M. S., & … Zald, D. H. (2010). Dopaminergic network differences in human impulsivity. Science, 329, 532–532. doi:10.1126/science.1185778.
  • Burns, B. D., & Corpus, B. (2004). Randomness and inductions from streaks: “Gambler's fallacy” versus “hot hand”. Psychonomic Bulletin & Review, 11, 179–184. doi:10.3758/BF03206480.
  • Cohen, M. X. (2008). Neurocomputational mechanisms of reinforcement-guided learning in humans: A review. Cognitive, Affective, & Behavioral Neuroscience, 8, 113–125. doi:10.3758/CABN.8.2.113.
  • Croson, R., & Sundali, J. (2005). The Gambler's fallacy and the hot hand: Empirical data from casinos. Journal of Risk and Uncertainty, 30, 195–209. doi:10.1007/s11166-005-1153-2.
  • Dalley, J. W., Fryer, T. D., Brichard, L., Robinson, E. S., Theobald, D. E., Laane, K., & … Robbins, T. W. (2007). Nucleus accumbens D2/3 receptors predict trait impulsivity and cocaine reinforcement. Science, 315, 1267–1270. doi:10.1126/science.1137073.
  • Di Nicola, M., Tedeschi, D., Mazza, M., Martinotti, G., Harnic, D., Catalano, V., & … Janiri, L. (2010). Behavioural addictions in bipolar disorder patients: Role of impulsivity and personality dimensions. Journal of Affective Disorders, 125, 82–88. doi:10.1016/j.jad.2009.12.016.
  • Evenden, J. L. (1999). Varieties of impulsivity. Psychopharmacology, 146, 348–361. doi:10.1007/PL00005481.
  • First, M., Spitzer, R., Gibbon, M., & Williams, J. (2002). Biometrics Research, New York. Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Patient Edition. (SCID-I/P).
  • Frank, M. J. (2011). Computational models of motivated action selection in corticostriatal circuits. Current Opinion in Neurobiology, 21, 381–386. doi:10.1016/j.conb.2011.02.013.
  • Glimcher, P. W. (2011). Understanding dopamine and reinforcement learning: The dopamine reward prediction error hypothesis. Proceedings of the National Academy of Sciences, 108, 15647–15654. doi:10.1073/pnas.1014269108.
  • Goudriaan, A. E., Oosterlaan, J., de Beurs, E., & van den Brink, W. (2005). Decision making in pathological gambling: A comparison between pathological gamblers, alcohol dependents, persons with Tourette syndrome, and normal controls. Cognitive Brain Research, 23, 137–151. doi:10.1016/j.cogbrainres.2005.01.017.
  • Goudriaan, A. E., Oosterlaan, J., De Beurs, E., & Van Den Brink, W. (2008). The role of self-reported impulsivity and reward sensitivity versus neurocognitive measures of disinhibition and decision-making in the prediction of relapse in pathological gamblers. Psychological Medicine, 38, 41–50. doi:10.1017/S0033291707000694.
  • Hodgins, D. C. (2004). Using the NORC DSM Screen for gambling problems as an outcome measure for pathological gambling: Psychometric evaluation. Addictive Behaviors, 29, 1685–1690. doi:10.1016/j.addbeh.2004.03.017.
  • Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47, 263–291. doi:10.2307/1914185.
  • Kahneman, D., & Tversky, A. (2000). Choices values and frames. Cambridge, UK: Cambridge University Press.
  • Ladouceur, R., Paquet, C., & Dube, D. (1996). Erroneous perceptions in generating sequences of random events. Journal of Applied Social Psychology, 26, 2157–2166. doi:10.1111/j.1559-1816.1996.tb01793.x.
  • Ladouceur, R., & Sévigny, S. (2005). Structural characteristics of video lotteries: Effects of a stopping device on illusion of control and gambling persistence. Journal of Gambling Studies, 21, 117–131. doi:10.1007/s10899-005-3028-5.
  • Lattimore, P. K., Baker, J. R., & Witte, A. D. (1992). The influence of probability on risky choice. Journal of Economic Behavior & Organization, 17, 377–400. doi:10.1016/S0167-2681(95)90015-2.
  • Leeman, R. F., & Potenza, M. N. (2012). Similarities and differences between pathological gambling and substance use disorders: A focus on impulsivity and compulsivity. Psychopharmacology, 219, 469–490. doi:10.1007/s00213-011-2550-7.
  • Ligneul, R., Sescousse, G., Barbalat, G., Domenech, P., & Dreher, J. C. (2013). Shifted risk preferences in pathological gambling. Psychological Medicine, 43, 1059–1068. doi:10.1017/S0033291712001900.
  • Lorains, F. K., Dowling, N. A., Enticott, P. G., Bradshaw, J. L., Trueblood, J. S., & Stout, J. C. (2014). Strategic and non-strategic problem gamblers differ on decision-making under risk and ambiguity. Addiction, 109, 1128–1137. doi:10.1111/add.12494.
  • Loxton, N. J., Nguyen, D., Casey, L., & Dawe, S. (2008). Reward drive, rash impulsivity and punishment sensitivity in problem gamblers. Personality and Individual Differences, 45, 167–173. doi:10.1016/j.paid.2008.03.017.
  • Markham, F., Young, M., & Doran, B. (2014). Gambling expenditure predicts harm: Evidence from a venue-level study. Addiction, 109, 1509–1516. doi:10.1111/add.12595.
  • Miedl, S. F., Buchel, C., & Peters, J. (2014). Cue-induced craving increases impulsivity via changes in striatal value signals in problem gamblers. Journal of Neuroscience, 34, 4750–4755. doi:10.1523/JNEUROSCI.5020-13.2014.
  • Miedl, S. F., Peters, J., & Buchel, C. (2012). Altered neural reward representations in pathological gamblers revealed by delay and probability discounting. Archives of General Psychiatry, 69, 177–186. doi:10.1001/archgenpsychiatry.2011.1552.
  • O'Connor, J., & Dickerson, M. (2003). Definition and measurement of chasing in off-course betting and gaming machine play. Journal of Gambling Studies, 19, 359–386. doi:10.1023/A:1026375809186.
  • O'Doherty, J., Dayan, P., Schultz, J., Deichmann, R., Friston, K., & Dolan, R. J. (2004). Dissociable roles of ventral and dorsal striatum in instrumental conditioning. Science, 304, 452–454. doi:10.1126/science.1094285.
  • Paliwal, S., Petzschner, F. H., Schmitz, A. K., Tittgemeyer, M., & Stephan, K. E. (2014). A model-based analysis of impulsivity using a slot-machine gambling paradigm. Frontiers in Human Neuroscience, 8(428), 1–17.
  • Patton, J. H., Stanford, M. S., & Barratt, E. S. (1995). Factor structure of the barratt impulsiveness scale. Journal of Clinical Psychology, 51, 768–774. 10.1002/1097-4679(199511)51:6 < 768:AID-JCLP2270510607>3.0.CO;2-1.
  • Petry, N. M. (2001). Pathological gamblers, with and without substance abuse disorders, discount delayed rewards at high rates. Journal of Abnormal Psychology, 110, 482–487. doi:10.1037/0021-843X.110.3.482.
  • Petry, N. M. (2001). Substance abuse, pathological gambling, and impulsiveness. Drug and Alcohol Dependence, 63, 29–38. doi:10.1016/S0376-8716(00)00188-5.
  • Petry, N. M. (2012). Discounting of probabilistic rewards is associated with gambling abstinence in treatment-seeking pathological gamblers. Journal of abnormal psychology, 121, 151–159. doi:10.1037/a0024782.
  • Po Oei, T. P. S., Lin, J., & Raylu, N. (2008). The relationship between gambling cognitions, psychological states, and gambling: a cross-cultural study of Chinese and Caucasians in Australia. Journal of Cross-cultural Psychology, 39, 147–161. doi:10.1177/0022022107312587.
  • Ramos-Grille, I., Gomà-i-freixanet, M., Aragay, N., Valero, S., & Vallès, V. (2015). Predicting treatment failure in pathological gambling: The role of personality traits. Addictive Behaviors, 43, 54–59. doi:10.1016/j.addbeh.2014.12.010.
  • Raylu, N., & Oei, T. P. S. (2004). The gambling related cognitions scale (GRCS): Development, confirmatory factor validation and psychometric properties. Addiction, 99, 757–769. doi:10.1111/j.1360-0443.2004.00753.x.
  • Rescorla, R. A., & Wagner, A. R. (1972). A theory of Pavlovian conditioning: Variations in the effectiveness of reinforcement and nonreinforcement. In A. H. Black & W. F. Prokasy (Eds.), Classical conditioning II: Current research and theory (pp. 64–99). New York: Appleton-Century Crofts.
  • Reuter, J., Raedler, T., Rose, M., Hand, I., Gläscher, J., & Büchel, C. (2005). Pathological gambling is linked to reduced activation of the mesolimbic reward system. Nature Neuroscience, 8, 147–148. doi:10.1038/nn1378.
  • Steel, Z., & Blaszczynski, A. (1998). Impulsivity, personality disorders and pathological gambling severity. Addiction, 93, 895–905. doi:10.1046/j.1360-0443.1998.93689511.x.
  • Toneatto, T. (1999). Cognitive psychopathology of problem gambling. Substance Use & Misuse, 34, 1593–1604. doi:10.3109/10826089909039417.
  • Toneatto, T., Blitz-Miller, T., Calderwood, K., Dragonetti, R., & Tsanos, A. (1997). Cognitive distortions in heavy gambling. Journal of Gambling Studies, 13, 253–266. doi:10.1023/A:1024983300428.
  • Turner, N. E. (2011). Volatility, house edge and prize structure of gambling games. Journal of Gambling Studies, 27, 607–623. doi:10.1007/s10899-011-9238-0.
  • Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185, 1124–1131. doi:10.1126/science.185.4157.1124.
  • Tversky, A., & Kahneman, D. (1991). Loss aversion in riskless choice: A reference-dependent model. The Quarterly Journal of Economics, 106, 1039–1061. doi:10.2307/2937956.
  • Tversky, A., & Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5, 297–323. doi:10.1007/BF00122574.
  • Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of personality and social psychology, 54, 1063–1070. doi:10.1037/0022-3514.54.6.1063.
  • Worhunsky, P. D., Malison, R. T., Rogers, R. D., & Potenza, M. N. (2014). Altered neural correlates of reward and loss processing during simulated slot-machine fMRI in pathological gambling and cocaine dependence. Drug and Alcohol Dependence, 145, 77–86. doi:10.1016/j.drugalcdep.2014.09.013.

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